Typhoon season overhead line tripping prediction method based on interactive hidden Markov

The invention relates to a typhoon season overhead line trip prediction method based on interactive hidden Markov. The typhoon season overhead line trip prediction method comprises the following steps: acquiring historical data of typhoon trip; calculating the historical data in an observable state, counting the number of trips, and calculating the conditional probability of the trips; constructing an estimation probability sequence of a hidden state trip number for historical data in a hidden state based on a wind level radius; constructing a transition probability matrix of the augmented Markov chain, and establishing a two-step transition matrix; extracting a one-step probability matrix according to the two-step transfer matrix, obtaining a one-step transfer probability matrix, and carrying out conversion processing to obtain a conversion probability; and applying the transition probability to the transition probability matrix to obtain tripping data at the next moment. Compared with the prior art, the met